{"id":35692,"date":"2025-06-10T17:08:34","date_gmt":"2025-06-10T16:08:34","guid":{"rendered":"https:\/\/www.dexeuscampus.com\/blog\/sense-categoria\/un-estudi-multicentric-internacional-valida-la-deteccio-ecografica-del-cancer-dovari-mitjancant-la-ia\/"},"modified":"2025-06-13T15:22:18","modified_gmt":"2025-06-13T14:22:18","slug":"deteccio-ecografica-cancer-dovari-mitjancant-ia","status":"publish","type":"post","link":"https:\/\/www.dexeuscampus.com\/ca\/blog\/dgi-ca\/deteccio-ecografica-cancer-dovari-mitjancant-ia\/","title":{"rendered":"Un estudi multic\u00e8ntric internacional valida la detecci\u00f3 ecogr\u00e0fica del c\u00e0ncer d\u2019ovari mitjan\u00e7ant la IA"},"content":{"rendered":"\t\t
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Article:<\/p>\r\n

International multicenter validation of AI-driven ultrasound detection of ovarian cancer<\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Filip Christiansen, Emir Konuk, Adithya Raju Ganeshan, Robert Welch, Joana Pal\u00e9s Huix, Artur Czekierdowski, Francesco Paolo Giuseppe Leone, Lucia Anna Haak, Robert Fruscio, Adrius Gaurilcikas Dorella Franchi, Daniela Fischerova, Elisa Mor , Luca Savelli, Maria \u00c0ngela Pascual, Marek Jerzy Kudla, Stefano Guerriero, Francesca Buonomo, Karina Liuba , Nina Montik, Juan Luis Alc\u00e1zar, Ekaterini Domali, Nelinda Catherine P Pangilinan, Chiara Carella, Maria Munaretto, Petra Saskova, Debora Verri, Chiara Visenzi, Pawel Herman, Kevin Smith, Elisabeth Epstein.
Nat Med.<\/strong> 2025 Jan;31(1):189-196.
DOI: 10.1038\/s41591-024-03329-4. Epub 2025 Jan 2. <\/a><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Les lesions ov\u00e0riques s\u00f3n freq\u00fcents i sovint es detecten de manera incidental. L\u2019ecografia transvaginal \u00e9s la principal t\u00e8cnica utilitzada per diferenciar entre lesions ov\u00e0riques benignes i malignes a causa de la seva \u00e0mplia disponibilitat i de la seva elevada precisi\u00f3 diagn\u00f2stica quan la realitza un examinador experimentat. La bi\u00f2psia, en canvi, est\u00e0 contraindicada, ja que pot provocar la disseminaci\u00f3 d\u2019un tumor maligne i empitjorar el pron\u00f2stic. <\/p>

No obstant aix\u00f2, la precisi\u00f3 diagn\u00f2stica i la concordan\u00e7a interobservador tendeixen a ser considerablement inferiors entre els examinadors menys experimentats, la qual cosa pot donar lloc a diagn\u00f2stics de c\u00e0ncer tardans i incorrectes, aix\u00ed com a tractaments innecessaris. A m\u00e9s, existeix un d\u00e8ficit substancial d\u2019experts en aquest \u00e0mbit. <\/p>

En aquest sentit, l\u2019ajuda al diagn\u00f2stic basada en la intel\u00b7lig\u00e8ncia artificial (IA) \u00e9s una possible soluci\u00f3, i ja s\u2019ha demostrat que les eines que utilitzen arquitectures de xarxes neuronals convolucionals (CNN en angl\u00e8s) ofereixen resultats prometedors en la classificaci\u00f3 de lesions ov\u00e0riques. El problema est\u00e0 en el fet que els entorns cl\u00ednics s\u00f3n molt variables i factors com les poblacions de pacients, els dispositius d\u2019obtenci\u00f3 d\u2019imatges i els protocols d\u2019adquisici\u00f3 poden diferir substancialment entre centres. A m\u00e9s, la recopilaci\u00f3 de conjunts de dades prou amplis i diversos per copsar tota la variabilitat de les dades cl\u00edniques i ser universalment representatius es veu limitada per restriccions tant legals com econ\u00f2miques. <\/p>

Per aquest motiu, un estudi multic\u00e8ntric a gran escala que validi la generalitzabilitat podria aportar proves essencials que augmentin la confian\u00e7a en els sistemes de suport al diagn\u00f2stic basats en IA per a \u00fas cl\u00ednic. Amb aquest objectiu, un grup d\u2019investigadors, entre els quals s\u2019inclou la Dra. M. Angela Pascual, consultora i directora d\u2019R+D del Servei de Diagn\u00f2stic Ginecol\u00f2gic per la Imatge de Dexeus Dona<\/strong>, ha dut a terme un ampli estudi retrospectiu multic\u00e8ntric internacional, amb l\u2019objectiu de desenvolupar i validar models de xarxes neuronals basats en transformers<\/em> utilitzant un ampli conjunt de dades. En total es van analitzar 17.119 imatges ecogr\u00e0fiques obtingudes a partir de 3.652 pacients de 20 centres en 8 pa\u00efsos, adquirides amb 21 sistemes ecogr\u00e0fics diferents de 9 fabricants. <\/p>

D\u2019acord amb els resultats, els models van demostrar un rendiment s\u00f2lid en tots els centres, sistemes d\u2019ecografia, diagn\u00f2stics histol\u00f2gics i grups d\u2019edat dels pacients, superant significativament als examinadors experts i no experts en totes les m\u00e8triques avaluades. A m\u00e9s, el suport diagn\u00f2stic basat en intel\u00b7lig\u00e8ncia artificial (IA) va reduir les derivacions a experts en un 63 %, un resultat que supera significativament el rendiment diagn\u00f2stic de la pr\u00e0ctica actual. <\/p>

Segons els autors, aquests resultats demostren que els models basats en transformers<\/em> presenten una forta generalitzaci\u00f3 i una precisi\u00f3 diagn\u00f2stica superior a la dels experts humans, la qual cosa potencialment podria contribuir a contrarestar l\u2019escassetat d\u2019ecografistes experts i millorar la precisi\u00f3 diagn\u00f2stica, especialment en casos dif\u00edcils de classificar per part dels examinadors.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Les lesions ov\u00e0riques s\u00f3n freq\u00fcents i sovint es detecten de manera incidental. L\u2019ecografia transvaginal \u00e9s la principal t\u00e8cnica utilitzada per diferenciar entre lesions ov\u00e0riques benignes i malignes a causa de la seva \u00e0mplia disponibilitat i de la seva elevada precisi\u00f3 diagn\u00f2stica quan la realitza un examinador experimentat.<\/p>\n","protected":false},"author":3,"featured_media":35595,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[386],"tags":[],"class_list":["post-35692","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-dgi-ca"],"yoast_head":"\nUn estudi multic\u00e8ntric internacional valida la detecci\u00f3 ecogr\u00e0fica del c\u00e0ncer d\u2019ovari mitjan\u00e7ant la IA - Dexeus Campus<\/title>\n<meta name=\"description\" content=\"Les lesions ov\u00e0riques s\u00f3n freq\u00fcents i sovint es detecten de manera incidental. 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